WeChat Mini Program
Old Version Features

Structure-guided Synthesis of Tamoxifen Analogs with Improved Selectivity for the Orphan ERRγ

EYH Chao,JL Collins, S Gaillard,AB Miller,LP Wang, LA Orband-Miller,RT Nolte,DP McDonnell,TM Willson,WJ Zuercher

Bioorganic & Medicinal Chemistry Letters(2006)SCI 4区SCI 2区

Discovery Research | Department of Pharmacology and Cancer Biology | GlaxoSmithKline Inc

Cited 102|Views36
Abstract
The design and synthesis of 4-hydroxytamoxifen (4-OHT) derivatives are described. The binding affinities of these compounds toward the orphan estrogen-related receptor gamma and the classical estrogen receptor alpha demonstrate that analogs bearing hydroxyalkyl groups display improved binding selectivity profiles compared with that of 4-OHT. An X-ray crystal structure of one of the designed compounds bound to ERR gamma LBD confirms the molecular basis of the selectivity. (c) 2005 Elsevier Ltd. All rights reserved.
More
Translated text
Key words
ERR gamma,chemical tool,orphan nuclear receptor
PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
2002

被引用504 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文报道了通过结构导向合成的具有提高孤儿雌激素相关受体γ(ERRγ)选择性的他莫昔芬类似物,揭示了其分子选择性基础。

方法】:研究采用计算机辅助设计结合有机合成方法,设计并合成了一系列4-羟基他莫昔芬(4-OHT)衍生物。

实验】:通过测定这些衍生物与ERRγ和经典雌激素受体α的结合亲和力,发现带有羟基烷基团的类似物显示出比4-OHT更好的选择性结合谱。使用X射线晶体学方法确定了一个设计化合物与ERRγ结合的晶体结构,验证了选择性的分子基础。实验中具体使用的数据集未在摘要中提及。